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Modeling, Simulation and Visual Analysis of Crowds

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Cover of 'Modeling, Simulation and Visual Analysis of Crowds'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective
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    Chapter 2 On Force-Based Modeling of Pedestrian Dynamics
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    Chapter 3 Connection Between Microscopic and Macroscopic Models
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    Chapter 4 Analysis of Crowd Dynamics with Laboratory Experiments
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    Chapter 5 Modeling a Crowd of Groups: Multidisciplinary and Methodological Challenges
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    Chapter 6 Scalable Solutions for Simulating, Animating, and Rendering Real-Time Crowds of Diverse Virtual Humans
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    Chapter 7 Authoring Multi-actor Behaviors in Crowds with Diverse Personalities
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    Chapter 8 Virtual Tawaf: A Velocity-Space-Based Solution for Simulating Heterogeneous Behavior in Dense Crowds
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    Chapter 9 Crowd Flow Segmentation Using Lagrangian Particle Dynamics
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    Chapter 10 Modeling Crowd Flow for Video Analysis of Crowded Scenes
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    Chapter 11 Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods
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    Chapter 12 Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties
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    Chapter 13 Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods
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    Chapter 14 Crowd Counting and Profiling: Methodology and Evaluation
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    Chapter 15 Anomaly Detection in Crowded Scenes: A Novel Framework Based on Swarm Optimization and Social Force Modeling
Attention for Chapter 14: Crowd Counting and Profiling: Methodology and Evaluation
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Chapter title
Crowd Counting and Profiling: Methodology and Evaluation
Chapter number 14
Book title
Modeling, Simulation and Visual Analysis of Crowds
Published by
Springer New York, October 2013
DOI 10.1007/978-1-4614-8483-7_14
Book ISBNs
978-1-4614-8482-0, 978-1-4614-8483-7

Chen Change Loy, Ke Chen, Shaogang Gong, Tao Xiang


Saad Ali, Ko Nishino, Dinesh Manocha, Mubarak Shah

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Colombia 1 <1%
Brazil 1 <1%
Unknown 117 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 21%
Student > Ph. D. Student 24 20%
Student > Bachelor 12 10%
Student > Postgraduate 10 8%
Researcher 9 8%
Other 18 15%
Unknown 22 18%
Readers by discipline Count As %
Computer Science 61 51%
Engineering 24 20%
Agricultural and Biological Sciences 2 2%
Social Sciences 2 2%
Environmental Science 1 <1%
Other 4 3%
Unknown 26 22%